{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Mathian E"],"funding":["INCa","Worldwide Cancer Research","NETRF"],"pagination":["103591"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11233924"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["9(6)"],"pubmed_abstract":["<h4>Background</h4>Six thoracic pathologists reviewed 259 lung neuroendocrine tumours (LNETs) from the lungNENomics project, with 171 of them having associated survival data. This cohort presents a unique opportunity to assess the strengths and limitations of current World Health Organization (WHO) classification criteria and to evaluate the utility of emerging markers.<h4>Patients and methods</h4>Patients were diagnosed based on the 2021 WHO criteria, with atypical carcinoids (ACs) defined by the presence of focal necrosis and/or 2-10 mitoses per 2 mm<sup>2</sup>. We investigated two markers of tumour proliferation: the Ki-67 index and phospho-histone H3 (PHH3) protein expression, quantified by pathologists and automatically via deep learning. Additionally, an unsupervised deep learning a"],"journal":["ESMO open"],"pubmed_title":["Assessment of the current and emerging criteria for the histopathological classification of lung neuroendocrine tumours in the lungNENomics project."],"pmcid":["PMC11233924"],"funding_grant_id":["21-0005"],"pubmed_authors":["Moonen L","Centonze G","Pelosi G","Vignaud JM","Tabone-Eglinger S","Alcala N","Brustugun OT","Berthet JP","de Montpreville VT","di Micco CM","Lantuejoul S","Graziano P","Foll M","Sabella G","Dingemans AM","Mansuet-Lupo A","Fournier CB","Drouet Y","Altun C","Lund-Iversen M","Voegele C","Popper H","Roz L","Fadel E","Lacomme S","Speel EJ","Girard N","Chen L","Sexton-Oates A","Gadot N","Chalabreysse L","Rousseau N","Perrin C","Hofman P","Brcic L","Mangiante L","Damiola F","Walter T","Mathian E","Milione M","Hofman V","Volante M","Fernandez-Cuesta L","Derks J","Papotti MG","Planchard G","Muscarella LA"],"additional_accession":[]},"is_claimable":false,"name":"Assessment of the current and emerging criteria for the histopathological classification of lung neuroendocrine tumours in the lungNENomics project.","description":"<h4>Background</h4>Six thoracic pathologists reviewed 259 lung neuroendocrine tumours (LNETs) from the lungNENomics project, with 171 of them having associated survival data. This cohort presents a unique opportunity to assess the strengths and limitations of current World Health Organization (WHO) classification criteria and to evaluate the utility of emerging markers.<h4>Patients and methods</h4>Patients were diagnosed based on the 2021 WHO criteria, with atypical carcinoids (ACs) defined by the presence of focal necrosis and/or 2-10 mitoses per 2 mm<sup>2</sup>. We investigated two markers of tumour proliferation: the Ki-67 index and phospho-histone H3 (PHH3) protein expression, quantified by pathologists and automatically via deep learning. Additionally, an unsupervised deep learning a","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Jun","modification":"2025-04-05T15:47:53.947Z","creation":"2025-04-05T15:47:53.947Z"},"accession":"S-EPMC11233924","cross_references":{"pubmed":["38878324"],"doi":["10.1016/j.esmoop.2024.103591"]}}